Gianluca Sottile

765 total citations
38 papers, 473 citations indexed

About

Gianluca Sottile is a scholar working on Genetics, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Gianluca Sottile has authored 38 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 9 papers in Statistics and Probability and 6 papers in Molecular Biology. Recurrent topics in Gianluca Sottile's work include Genetic and phenotypic traits in livestock (10 papers), Statistical Methods and Inference (8 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Gianluca Sottile is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Statistical Methods and Inference (8 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Gianluca Sottile collaborates with scholars based in Italy, Tunisia and Argentina. Gianluca Sottile's co-authors include Salvatore Mastrangelo, Baldassare Portolano, Maria Teresa Sardina, Rosalia Di Gerlando, Marco Tolone, Anna Maria Sutera, Fabio Pilla, Elena Ciani, Giovanna Cilluffo and Giada Adelfio and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Allergy and Clinical Immunology.

In The Last Decade

Gianluca Sottile

34 papers receiving 467 citations

Peers

Gianluca Sottile
D. S. Gallagher United States
Yong Qian China
Gustavo de los Campos United States
Mehdi Momen United States
Angli Xue Australia
Heejung Shim Australia
Glenys Thomson United States
D. S. Gallagher United States
Gianluca Sottile
Citations per year, relative to Gianluca Sottile Gianluca Sottile (= 1×) peers D. S. Gallagher

Countries citing papers authored by Gianluca Sottile

Since Specialization
Citations

This map shows the geographic impact of Gianluca Sottile's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gianluca Sottile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Sottile more than expected).

Fields of papers citing papers by Gianluca Sottile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianluca Sottile. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gianluca Sottile. The network helps show where Gianluca Sottile may publish in the future.

Co-authorship network of co-authors of Gianluca Sottile

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Sottile. A scholar is included among the top collaborators of Gianluca Sottile based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gianluca Sottile. Gianluca Sottile is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cilluffo, Giovanna, Gianluca Sottile, Giuliana Ferrante, et al.. (2024). A comprehensive environmental exposure indicator and respiratory health in asthmatic children: a case study. Environmental and Ecological Statistics. 31(2). 297–315.
2.
Sottile, Gianluca, et al.. (2024). Sparse inference of the human haematopoietic system from heterogeneous and partially observed genomic data. Journal of the Royal Statistical Society Series C (Applied Statistics). 74(1). 204–228.
3.
Tolone, Marco, Gianluca Sottile, Baldassare Portolano, et al.. (2024). A high-density genome-wide approach reveals novel genetic markers linked to small ruminant lentivirus susceptibility in sheep. Frontiers in Genetics. 15. 1376883–1376883.
4.
Sottile, Gianluca, et al.. (2023). cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values. Journal of Statistical Software. 105(1). 4 indexed citations
5.
Alberghina, Daniela, et al.. (2023). A 10-year retrospective analysis (2012-2021) of hospitalizations resulting from dog bites in Southern Italy. Frontiers in Veterinary Science. 10. 1104477–1104477. 4 indexed citations
6.
Muggeo, Vito M. R., Gianluca Sottile, & Giovanna Cilluffo. (2023). Joint modelling of non-crossing additive quantile regression via constrained B-spline varying coefficients. Statistical Modelling. 23(5-6). 540–554.
7.
Tumminello, Michele, et al.. (2022). A multivariate statistical test for differential expression analysis. Scientific Reports. 12(1). 8265–8265. 3 indexed citations
8.
Mastrangelo, Salvatore, Marco Tolone, Slim Ben Jemaa, et al.. (2020). Refining the genetic structure and relationships of European cattle breeds through meta-analysis of worldwide genomic SNP data, focusing on Italian cattle. Scientific Reports. 10(1). 14522–14522. 22 indexed citations
9.
Sottile, Gianluca, Giuliana Ferrante, Giovanna Cilluffo, et al.. (2020). A model-based approach for assessing bronchodilator responsiveness in children: The conventional cutoff revisited. Journal of Allergy and Clinical Immunology. 147(2). 769–772.e10. 4 indexed citations
10.
Mastrangelo, Salvatore, Slim Ben Jemaa, Elena Ciani, et al.. (2020). Genome‐wide detection of signatures of selection in three Valdostana cattle populations. Journal of Animal Breeding and Genetics. 137(6). 609–621. 27 indexed citations
11.
Camarda, Cecilia, Paola Torelli, Carmela Pipia, et al.. (2019). Nociceptive Primitive Reflexes in Neurologically and Cognitively Healthy Aging Subjects. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 46(2). 199–208. 8 indexed citations
12.
Sottile, Gianluca, Paolo Frumento, Marcello Chiodi, & Matteo Bottai. (2019). A penalized approach to covariate selection through quantile regression coefficient models. Statistical Modelling. 20(4). 369–385. 6 indexed citations
13.
Gerlando, Rosalia Di, Anna Maria Sutera, Salvatore Mastrangelo, et al.. (2019). Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep. PLoS ONE. 14(4). e0215204–e0215204. 35 indexed citations
14.
Mastrangelo, Salvatore, Andrea Criscione, Gianluca Sottile, et al.. (2019). Genome‐wide analysis identifies potentially causative genes explaining the phenotypic variability in Pinzirita sheep. Animal Genetics. 50(2). 189–190. 4 indexed citations
15.
Mastrangelo, Salvatore, Gianluca Sottile, Maria Teresa Sardina, et al.. (2019). A combined genome-wide approach identifies a new potential candidate marker associated with the coat color sidedness in cattle. Livestock Science. 225. 91–95. 10 indexed citations
16.
Camarda, Cecilia, Paola Torelli, Carmela Pipia, et al.. (2019). Mild Parkinsonian Signs in a Hospital-based Cohort of Mild Cognitive Impairment Types: A Cross-sectional Study. Current Alzheimer Research. 16(7). 633–649. 6 indexed citations
17.
Sottile, Gianluca, Maria Teresa Sardina, Andrea Criscione, et al.. (2019). Genome‐wide analyses reveal the regions involved in the phenotypic diversity in Sicilian pigs. Animal Genetics. 51(1). 101–105. 15 indexed citations
18.
Mastrangelo, Salvatore, Elena Ciani, Maria Teresa Sardina, et al.. (2018). Runs of homozygosity reveal genome‐wide autozygosity in Italian sheep breeds. Animal Genetics. 49(1). 71–81. 79 indexed citations
19.
Mastrangelo, Salvatore, Marco Tolone, Maria Teresa Sardina, et al.. (2017). Genome-wide scan for runs of homozygosity identifies potential candidate genes associated with local adaptation in Valle del Belice sheep. Genetics Selection Evolution. 49(1). 84–84. 109 indexed citations
20.
Sottile, Gianluca, Maria Teresa Sardina, Salvatore Mastrangelo, et al.. (2017). Penalized classification for optimal statistical selection of markers from high-throughput genotyping: application in sheep breeds. animal. 12(6). 1118–1125. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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